In this moment, excerpted from the Fireside Chat “Data Innovation Profile,” Michael Simms, VP Data & AI, Columbus, describes how his company applied AI to overcome business challenges while working with Miyoshi Tokuno, Director of Data Control, Mad Engine.
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Key Takeaways
- Automation and scale: When looking at applying AI, Simms explained that it was more of an automation play, because they had a variety of data sources that they were managing and providing information. It was also a scale play, because they wanted to open the business up and do more.
- Achieving more: “The art’s pretty sophisticated,” Simms noted. “There’s a lot of different components to it that we knew we could automate and that’s where Miyoshi and her team really came in and helped us” to achieve selling more products without adding more people.
- Outcomes: Columbus funneled its options through its AI process and determine what they wanted to achieve. Once the use case was established, they built a POC and ensured it was meeting expectations.
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